This section explains how to configure and personalize several aspects of the tool. It covers the following topics:

These parameters are global for all the users of the tool.

Elements Shown to the Users

You can specify which elements from the catalog the users are allowed to see:

  • Only Views

  • Only Web Services

  • Both

It affects the results shown in the following sections:

  • Databases browsing

  • Search (the user could only search in the catalog, not in the metadata)

  • Saved Queries (only saved queries from allowed elements are shown)

Browse Configuration

You can choose whether to Allow users to browse by Databases/Folders or not. If this option is disabled, users will not be able to access the Databases/Folders panel. In this case, you can also choose to Hide uncategorized views and web services from users (uncategorized views and web services will not appear in search results or when browsing by Categories or Tags).

User Interface

You can customize this tool to adapt it to the branding of your company. You can change the following:

  • The logo displayed on the top left.

  • The image displayed on the background of the Login page.

  • The image displayed on the background of the Welcome page.




Maximum size for uploaded images is 5MB.

Informative Message

You can add an informative message that will be displayed to all users when they access the Data Catalog. It will show up at the top of the page.

It can be used to display a welcome message, inform users when the service is expected to be down for maintenance, legal disclaimers, etc.

Informative Message Set-Up

Informative Message Set-Up

To enter the message in HTML, click Source in the editor, enter the HTML and click Source again. The Save button is disabled while in Source mode.

Informative Message

Informative Message

Export Format Configuration

Regarding the exportation of the results of the queries of views and queries of web services, the administrator can configure:

  • The available export formats, among: CSV, HTML, Excel and Tableau (the section below explains how to enable the exports to Tableau). All enabled by default.

  • The maximum number of rows using each of the available formats.

  • If only the users with the role data_catalog_exporter in Virtual DataPort can export the results of the queries using each of the available exporters.

Export Format Configuration

Export Format Configuration

Enabling Exports to Tableau

To enable the feature of exporting data to Tableau, you need to install the “Tableau Data Extract API” in the host where the Denodo Platform is installed. To do this, follow these steps:

  1. Go to the web site of the Tableau Data Extract API.

  2. In this page, sign in and download the package C/C++/Java 64-bit version. Select Windows or Linux depending on the operating system where the Denodo server runs.

  3. Uncompress the downloaded file.

  4. If the Denodo server runs on Windows, copy the files of the folder bin in the downloaded file to <DENODO_HOME>/jre/bin.

  5. If the Denodo server runs on Linux:

    1. Copy the files of the folder bin in the downloaded file to <DENODO_HOME>/jre/bin.

    2. Copy the files of the folder lib/dataextract in the downloaded file to <DENODO_HOME>/jre/bin.

  6. Restart the Data Catalog.

Database and View Connection URIs

You can choose whether to display the Show Connection URIs button or not in the databases’ and views’ details page. If you choose to show it, you can customize several parameters:

  • Introduction text of the database connections panel: this will be shown in the panel instead of the default introduction.

  • URI Patterns: these describe how to access the server’s databases through JDBC, ODBC, REST and OData. You may use the following variables in the pattern definitions: $vdp_host, $vdp_port, $user_name, $database_name. These variables will be replaced by the appropriate values when showing the URIs to the user.

Database Connection URIs

Database Connection URIs

Usage Statistics

The Data Catalog allows showing usage statistics of the views and web services by analyzing the usage data collected by Denodo Virtual DataPort. This feature requires some preparation steps, that will be explained later on this section.

When this feature is enabled, the details page of views and web services includes a new tab that shows some statistics about its usage (after they are collected and computed).

Steps to Configure the Gathering of Statistics

In order to show the Usage tab in the details page of views and web services, a user with administration privileges has to perform the following steps:

  1. Configure the Denodo Monitor to store the log of requests in a database (for instance, a table in Oracle). By default, Denodo Monitor saves the log information to a file. You need to modify this to use a database instead the log file.

    • Edit <DENODO_HOME>/tools/monitor/denodo-monitor/conf/ and search for the following text and follow the instructions of the file.

    # ================================================================================
    # Settings to store the output of the Virtual DataPort query monitor in a database
    # ================================================================================


    Data Catalog requires to use the Denodo Monitor included in update 20180926 or later.

  2. Create the necessary views in a Virtual DataPort server:

    1. Create a database named as denodo_logs. The next steps are assuming this database.

    2. Create a base view over the previously configured table (request_notification) in the Denodo Monitor for the requests log.

      • You have to name that base view as “request_notification” and include the columns with the default names.

    3. Create the view usage_statistics_src with full cache enabled:

      • Import the VQL file usage-statistics.vql (with its properties from <DENODO_HOME>/resources/data-catalog/statistics.

        You may need to modify the properties file before importing.

      • If the cache is not enabled in the Denodo Virtual DataPort server, you have to enable and configure it.


    Due to license restrictions, you cannot use the Denodo Virtual DataPort server shipped with the Solution Manager installer.

  3. Enable the usage statistics in the Data Catalog:

    • Configure the period/s to compute the usage statistics: Last day, Last month and/or All time.

    • Configure the element/s over which to calculate the usage statistics: User, User Agent and/or Query.

    • Configure the connection details to the Virtual DataPort server containing the views over the Denodo Monitor requests log (needed to calculate the usage statistics), as explained before.

      • Database: the database where the views were created. If no value is specified in this field, the database of the Connection URI will be used.

      • View Name: the name of the view to query the usage statistics. The default value usage_statistics_src will be used if no value is specified in this field.

    Usage Statistics

    Usage Statistics

  4. Compute the statistics

    Once you get to this step, you have everything configured but nothing is shown in the new statistics tab from the details page. This is because no statistics were computed yet. The next step, is to make the Data Catalog process the information stored in Denodo Virtual DataPort to compute and show the statistics. To do that, there are two options, as explained below.

Computing Usage Statistics

After having configured the Data Catalog to show the usage statistics, it needs to compute them. There are two ways to achieve this:

  • Scheduled with Denodo Scheduler:

    You can use Denodo Scheduler to plan the computing of the statistics in an incremental way. Denodo Scheduler retrieves the raw data from the Denodo Monitor and loads it incrementally in the cache (with the new usage data). You have to follow these steps:

    1. Load the Denodo Incremental Cache Load stored procedure in Denodo Virtual DataPort.

    2. Create the INCREMENTAL_CACHE_LOAD stored procedure in Denodo Virtual DataPort.

    3. Import the Scheduler project from <DENODO_HOME>/resources/data-catalog/statistics/ It creates a project data_catalog_statistics, that depending on the update you have installed will include or not the job load_cache_and_update_statistics (a VDP job to load the cache and execute the view over the Data Catalog endpoint to compute the usage statistics using the data obtained from the view usage_statistics_src). Besides, it will include other three jobs:

      1. cache_load_first_time: A VDPCache job to load the cache of the view usage_statistics_src the first time.

        It is recommended to use this job if you have stored the Denodo Monitor logs for several days or weeks and you have not used the job load_cache_incremental to load the cache of its view incrementally. Execute this job once, and then use the job load_cache_incremental to load the cache incrementally from that moment.

      2. cache_load_incremental: A VDP job to call the incremental cache load stored procedure over the view usage_statistics_src. It is recommended to schedule it to be executed at least once a day (or more times if you desire to refresh the usage statistics most frequently).

      3. update_statistics: A VDP job to execute the view over the Data Catalog endpoint to compute the usage statistics using the data obtained from the view usage_statistics_src. It is recommended to schedule it to be executed just after the job cache_load_incremental, on which this depends.

      These three jobs are deprecated and are replaced by load_cache_and_update_statistics. This job does the same work as the other three.


      If your project contains the job load_cache_and_update_statistics, use it. Otherwise, you are forced to use the other three explained jobs.

  • Manually from the Data Catalog:

    You can compute the usage statistics by clicking the Compute usage statistics now button in the Data Catalog. The action dispatched with this button loads the cache with new data since the last time the cache was refreshed, and then computes the statistics (as Denodo Scheduler does, but in a scheduled way).


The recommended option to keep your statistics up to date is by using the Denodo Scheduler. You can modify the scheduling triggers according to your needs.